INCOME OUTCOMES OF MODERN RICE FARMING TECHNIQUES AMONG BORNO STATE FARMERS

The study examined the effects of adoption of rice production technologies in Borno State, Nigeria. A stratified random sampling method was used to select 534 upland, lowland and Fadama rice farmers in the study area. Data were analyzed using both descriptive and inferential statistical tools. The descriptive tools include; frequencies, percentages, Means, and standard deviation. Inferential statistics such as multiple regression and correlation analysis were used to show the degree of relationship between variables. The study indicates that majority (62.2%) of the respondents had adopted seed selection and had adoption score of 5.0.The results indicated that majority (71.90%) of the respondent’s harvested 40 bags/100kg and above. The result shows that seed selection coefficient (3.098**), planting depth coefficient (2.976**), irrigation system coefficient (3.530**), water management coefficient (4.502**) and tube wells coefficient (3.671**), were positively significant to income from rice sales at 1% level of significance. The study recommended that improved awareness creation should be provided through extension services on rice production technologies supported with the provision of inputs including credit facilities in the study area.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-25
DOI
https://doi.org/10.5281/zenodo.17199677
Primary Topic
Geodetic Measurements and Engineering Structures
Type
article
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article

INCOME OUTCOMES OF MODERN RICE FARMING TECHNIQUES AMONG BORNO STATE FARMERS

Zenodo (CERN European Organization for Nuclear Research)
Geodetic Measurements and Engineering Structures
article

INCOME OUTCOMES OF MODERN RICE FARMING TECHNIQUES AMONG BORNO STATE FARMERS

article en

Abstract

The study examined the effects of adoption of rice production technologies in Borno State, Nigeria. A stratified random sampling method was used to select 534 upland, lowland and Fadama rice farmers in the study area. Data were analyzed using both descriptive and inferential statistical tools. The descriptive tools include; frequencies, percentages, Means, and standard deviation. Inferential statistics such as multiple regression and correlation analysis were used to show the degree of relationship between variables. The study indicates that majority (62.2%) of the respondents had adopted seed selection and had adoption score of 5.0.The results indicated that majority (71.90%) of the respondent’s harvested 40 bags/100kg and above. The result shows that seed selection coefficient (3.098**), planting depth coefficient (2.976**), irrigation system coefficient (3.530**), water management coefficient (4.502**) and tube wells coefficient (3.671**), were positively significant to income from rice sales at 1% level of significance. The study recommended that improved awareness creation should be provided through extension services on rice production technologies supported with the provision of inputs including credit facilities in the study area.

Zenodo (CERN European Organization for Nuclear Research)
University of Maiduguri (NG)
Openalex Percentile: Top 51%
Geodetic Measurements and Engineering Structures
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INCOME OUTCOMES OF MODERN RICE FARMING TECHNIQUES AMONG BORNO STATE FARMERS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS